#6155. Differences in Chinese and Western tourists faced with Japanese hospitality: a natural language processing approach

September 2026publication date
Proposal available till 12-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Tourism, Leisure and Hospitality Management;
Computer Science Applications;
Information Systems;
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Abstract:
Since culture influences expectations, perceptions, and satisfaction, a cross-culture study is necessary to understand the differences between Japan’s biggest tourist populations, Chinese and Western tourists. However, with ever-increasing customer populations, this is hard to accomplish without extensive customer base studies. There is a need for an automated method for identifying these expectations at a large scale. For this, we used a data-driven approach to our analysis. Our study analyzed their satisfaction factors comparing soft attributes, such as service, with hard attributes, such as location and facilities, and studied different price ranges. We collected hotel reviews and extracted keywords to classify the sentiment of sentences with an SVC. We then used dependency parsing and part-of-speech tagging to extract nouns tied to positive adjectives.
Keywords:
Chinese; English; Hotels and lodging; Satisfaction and dissatisfaction factors; Sentiment analysis; Text mining

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